Who is researching array languages these days?

This page summarizes the projects mentioned and recommended in the original post on /r/Compilers

InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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  1. accelerate

    Embedded language for high-performance array computations (by AccelerateHS)

    I know Accelerate is being developed at Utrecht University in the Netherlands. You can look at publications by Trevor McDonell to get a taste of what they are doing.

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. Co-dfns

    High-performance, Reliable, and Parallel APL

    Aaron hsu did his dissertation on this topic (compiler, thesis), at indiana university in the us.

  4. apltail

    APL Compiler targeting a typed array intermediate language

    There's also apltail, of course, but that is disappointingly static, and iirc slower than co-dfns.

  5. chapel

    a Productive Parallel Programming Language

    Chapel is worth mentioning

  6. futhark

    :boom::computer::boom: A data-parallel functional programming language

    Futhark - https://futhark-lang.org/ - /u/athas

  7. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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